I use notebooks to test initial model performance, add some meaningful stats, descriptions of parts of computation performed and reasoning behind it, links to e

I use notebooks to test initial model performance, add some meaningful stats, descriptions of parts of computation performed and reasoning behind it, links to external (arxiv/github) papers/sources with detailed method descriptions, visualization of preliminary results of initial computation or hyperparameter search; that is a vital piece of information I provide to my clients who can then make an informed decision which way(s) they should move forward or abort completely. Then a production-ready code is developed outside notebook and productionalized including appropriate services (SaaS, serverless etc.). I found this workflow pretty good in convincing clients as they can play with results early in their decision process.